Overview

Dataset statistics

Number of variables20
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory78.2 KiB
Average record size in memory160.3 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:12:56.271568
Analysis finished2020-08-25 00:13:55.467579
Duration59.2 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz5 is highly correlated with oz3High correlation
oz3 is highly correlated with oz5High correlation
oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7192214727401734e-09
Minimum-1.7724529504776
Maximum1.7674845457077026
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:55.516251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.77245295
5-th percentile-1.560007674
Q1-0.8593421876
median0.0002341833897
Q30.8849995136
95-th percentile1.540313095
Maximum1.767484546
Range3.539937496
Interquartile range (IQR)1.744341701

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-581658626.3
Kurtosis-1.174633388
Mean-1.719221473e-09
Median Absolute Deviation (MAD)0.8716268539
Skewness-0.002153853151
Sum-8.596107364e-07
Variance1
2020-08-25T00:13:55.620153image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.64452910410.2%
 
-0.302912592910.2%
 
1.04815256610.2%
 
-0.424094259710.2%
 
0.639988303210.2%
 
0.880223989510.2%
 
-1.47529554410.2%
 
-0.521828532210.2%
 
-0.0791988298310.2%
 
0.134120017310.2%
 
-0.199697285910.2%
 
-1.37676465510.2%
 
1.7370269310.2%
 
1.62210285710.2%
 
-1.19211459210.2%
 
-0.45196986210.2%
 
-1.28201568110.2%
 
0.236726969510.2%
 
0.154874980410.2%
 
-1.41843295110.2%
 
0.236324176210.2%
 
-0.655487775810.2%
 
-0.919493675210.2%
 
0.525757670410.2%
 
1.5319917210.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.7724529510.2%
 
-1.75622606310.2%
 
-1.74367904710.2%
 
-1.73825848110.2%
 
-1.73467063910.2%
 
-1.72502386610.2%
 
-1.7243945610.2%
 
-1.69514954110.2%
 
-1.67718291310.2%
 
-1.67205154910.2%
 
ValueCountFrequency (%) 
1.76748454610.2%
 
1.76440596610.2%
 
1.74862241710.2%
 
1.74125409110.2%
 
1.7370269310.2%
 
1.73656356310.2%
 
1.73289704310.2%
 
1.72748613410.2%
 
1.7268836510.2%
 
1.71251821510.2%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.941838026046753e-10
Minimum-1.6856646537780762
Maximum1.7639732360839844
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:55.736217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.685664654
5-th percentile-1.459118932
Q1-0.8778088987
median-0.0641210191
Q30.9182724953
95-th percentile1.570501828
Maximum1.763973236
Range3.44963789
Interquartile range (IQR)1.796081394

Descriptive statistics

Standard deviation0.9999999992
Coefficient of variation (CV)-1682980914
Kurtosis-1.229908093
Mean-5.941838026e-10
Median Absolute Deviation (MAD)0.8681103587
Skewness0.09193507479
Sum-2.970919013e-07
Variance0.9999999984
2020-08-25T00:13:55.839721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.811523377910.2%
 
1.25617241910.2%
 
0.941537082210.2%
 
-1.38146209710.2%
 
0.969055414210.2%
 
0.682924568710.2%
 
-0.513981759510.2%
 
1.3248398310.2%
 
1.52015340310.2%
 
1.2408698810.2%
 
0.863601386510.2%
 
1.66666328910.2%
 
0.211507275710.2%
 
-0.791341900810.2%
 
-0.482746094510.2%
 
-1.656910310.2%
 
0.305355250810.2%
 
1.13933992410.2%
 
-0.185386538510.2%
 
-1.3211432710.2%
 
-0.427904218410.2%
 
-1.14521074310.2%
 
0.106559157410.2%
 
1.70288729710.2%
 
-0.485525608110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68566465410.2%
 
-1.68167424210.2%
 
-1.67761313910.2%
 
-1.67402780110.2%
 
-1.656910310.2%
 
-1.65568900110.2%
 
-1.63366925710.2%
 
-1.62706959210.2%
 
-1.61998498410.2%
 
-1.61197924610.2%
 
ValueCountFrequency (%) 
1.76397323610.2%
 
1.75295066810.2%
 
1.74975597910.2%
 
1.74779725110.2%
 
1.74302327610.2%
 
1.73360896110.2%
 
1.72934734810.2%
 
1.72129917110.2%
 
1.72031807910.2%
 
1.70288729710.2%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.788200259208679e-10
Minimum-2.2871344089508057
Maximum2.4030327796936035
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:55.954044image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.287134409
5-th percentile-1.517345911
Q1-0.7821945995
median-0.02613040246
Q30.7711119652
95-th percentile1.645175695
Maximum2.40303278
Range4.690167189
Interquartile range (IQR)1.553306565

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1021638274
Kurtosis-0.7805398898
Mean-9.788200259e-10
Median Absolute Deviation (MAD)0.780867815
Skewness0.09323614252
Sum-4.89410013e-07
Variance1.000000004
2020-08-25T00:13:56.060335image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.765621721710.2%
 
0.321468323510.2%
 
-0.89876872310.2%
 
0.647793710210.2%
 
-1.61004030710.2%
 
0.466476082810.2%
 
-1.0787974610.2%
 
0.783540248910.2%
 
0.354173034410.2%
 
1.23413634310.2%
 
0.391285270510.2%
 
-0.438160538710.2%
 
-1.08468103410.2%
 
0.148037195210.2%
 
-0.454179465810.2%
 
1.01243817810.2%
 
-1.86407589910.2%
 
-0.248380899410.2%
 
-0.510053038610.2%
 
0.494810491810.2%
 
-0.179046109310.2%
 
0.0542942844310.2%
 
-0.508178949410.2%
 
0.939821779710.2%
 
0.662422597410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.28713440910.2%
 
-2.15456581110.2%
 
-2.00687527710.2%
 
-1.97935640810.2%
 
-1.97677326210.2%
 
-1.96797144410.2%
 
-1.93056917210.2%
 
-1.86630392110.2%
 
-1.86407589910.2%
 
-1.84393334410.2%
 
ValueCountFrequency (%) 
2.4030327810.2%
 
2.37175679210.2%
 
2.30996894810.2%
 
2.30888032910.2%
 
2.18317341810.2%
 
2.08379006410.2%
 
2.08160018910.2%
 
2.03953981410.2%
 
1.97388303310.2%
 
1.91772389410.2%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1525116860866547e-10
Minimum-1.7109135389328003
Maximum1.7258384227752686
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:56.173452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.710913539
5-th percentile-1.564974654
Q1-0.8656946421
median0.01577724563
Q30.8520071954
95-th percentile1.530791992
Maximum1.725838423
Range3.436751962
Interquartile range (IQR)1.717701837

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-8676701626
Kurtosis-1.227587318
Mean-1.152511686e-10
Median Absolute Deviation (MAD)0.8565326179
Skewness-0.03498748824
Sum-5.76255843e-08
Variance1.000000004
2020-08-25T00:13:56.277901image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.350585311710.2%
 
-1.18283486410.2%
 
-0.698594987410.2%
 
0.717149972910.2%
 
0.747424781310.2%
 
-0.638017058410.2%
 
-1.3933055410.2%
 
0.641968488710.2%
 
-1.22782719110.2%
 
-0.3864081810.2%
 
0.270479053310.2%
 
-1.01246273510.2%
 
0.541388571310.2%
 
0.0130521478110.2%
 
0.511592924610.2%
 
0.789443790910.2%
 
-1.27619218810.2%
 
-0.752334892710.2%
 
-0.125828385410.2%
 
-0.145157575610.2%
 
1.36296582210.2%
 
0.0492795929310.2%
 
0.00135306839410.2%
 
-1.37382566910.2%
 
0.836331844310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.71091353910.2%
 
-1.70807063610.2%
 
-1.70702838910.2%
 
-1.70533454410.2%
 
-1.70146775210.2%
 
-1.69455039510.2%
 
-1.69287514710.2%
 
-1.68463742710.2%
 
-1.6810082210.2%
 
-1.65944564310.2%
 
ValueCountFrequency (%) 
1.72583842310.2%
 
1.72443187210.2%
 
1.70851159110.2%
 
1.70263421510.2%
 
1.69269800210.2%
 
1.69090592910.2%
 
1.67948079110.2%
 
1.67828285710.2%
 
1.67674589210.2%
 
1.6749520310.2%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2829120755195617e-09
Minimum-1.66489577293396
Maximum1.6540170907974243
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:56.393936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.664895773
5-th percentile-1.524760056
Q1-0.9258845001
median0.048202632
Q30.8615373522
95-th percentile1.505185735
Maximum1.654017091
Range3.318912864
Interquartile range (IQR)1.787421852

Descriptive statistics

Standard deviation0.9999999976
Coefficient of variation (CV)304607608.9
Kurtosis-1.29249748
Mean3.282912076e-09
Median Absolute Deviation (MAD)0.9024103861
Skewness-0.04912251246
Sum1.641456038e-06
Variance0.9999999953
2020-08-25T00:13:56.504599image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.17701184710.2%
 
1.09049034110.2%
 
0.700496554410.2%
 
0.371416062110.2%
 
0.684364199610.2%
 
-0.427227079910.2%
 
0.807076156110.2%
 
-0.332673519810.2%
 
-0.233155682710.2%
 
-0.78449469810.2%
 
-1.66489577310.2%
 
1.32485508910.2%
 
-1.52798175810.2%
 
1.18227779910.2%
 
-0.378617644310.2%
 
1.60221278710.2%
 
-0.64585781110.2%
 
1.35026431110.2%
 
-1.5084698210.2%
 
-0.74580669410.2%
 
-0.340986043210.2%
 
1.19207084210.2%
 
-0.0066096759410.2%
 
0.855806887110.2%
 
0.452318042510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.66489577310.2%
 
-1.65388810610.2%
 
-1.65178048610.2%
 
-1.64931249610.2%
 
-1.64615714610.2%
 
-1.63863658910.2%
 
-1.63374614710.2%
 
-1.63262343410.2%
 
-1.62972116510.2%
 
-1.6243275410.2%
 
ValueCountFrequency (%) 
1.65401709110.2%
 
1.63970100910.2%
 
1.63489675510.2%
 
1.62295174610.2%
 
1.62192022810.2%
 
1.61571824610.2%
 
1.6149456510.2%
 
1.60221278710.2%
 
1.60151004810.2%
 
1.56912338710.2%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3413449525833128e-09
Minimum-1.7273472547531128
Maximum1.6758300065994265
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:56.619982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.727347255
5-th percentile-1.583400625
Q1-0.8205650598
median0.03489595745
Q30.8001901954
95-th percentile1.572747827
Maximum1.675830007
Range3.403177261
Interquartile range (IQR)1.620755255

Descriptive statistics

Standard deviation0.9999999986
Coefficient of variation (CV)427104941.3
Kurtosis-1.154686521
Mean2.341344953e-09
Median Absolute Deviation (MAD)0.8094572118
Skewness-0.01427755222
Sum1.170672476e-06
Variance0.9999999973
2020-08-25T00:13:56.882370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.66406142710.2%
 
-0.258468955810.2%
 
-0.927070021610.2%
 
1.17945635310.2%
 
1.27992427310.2%
 
0.595711290810.2%
 
-0.992502927810.2%
 
0.719069361710.2%
 
-0.510572314310.2%
 
0.554829657110.2%
 
-1.11849701410.2%
 
-1.27806687410.2%
 
0.407880365810.2%
 
0.889980256610.2%
 
1.64905941510.2%
 
1.56498384510.2%
 
-1.63354814110.2%
 
0.488939106510.2%
 
-1.72635257210.2%
 
-1.32490956810.2%
 
0.0807318314910.2%
 
-1.5417114510.2%
 
1.62374854110.2%
 
-0.888284623610.2%
 
-1.20165443410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72734725510.2%
 
-1.72635257210.2%
 
-1.72431194810.2%
 
-1.72273385510.2%
 
-1.71662366410.2%
 
-1.70021474410.2%
 
-1.69685995610.2%
 
-1.69333219510.2%
 
-1.69171094910.2%
 
-1.6783245810.2%
 
ValueCountFrequency (%) 
1.67583000710.2%
 
1.66903233510.2%
 
1.66406142710.2%
 
1.66405212910.2%
 
1.66248023510.2%
 
1.65035629310.2%
 
1.64905941510.2%
 
1.64741504210.2%
 
1.64185583610.2%
 
1.63625907910.2%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.981419235467911e-10
Minimum-1.731655836105347
Maximum1.767184495925903
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:56.998272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.731655836
5-th percentile-1.576256639
Q1-0.8633006513
median0.05507894605
Q30.8567210436
95-th percentile1.564564222
Maximum1.767184496
Range3.498840332
Interquartile range (IQR)1.720021695

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1671844027
Kurtosis-1.167301877
Mean-5.981419235e-10
Median Absolute Deviation (MAD)0.8723993227
Skewness-0.004703874876
Sum-2.990709618e-07
Variance1.000000004
2020-08-25T00:13:57.109468image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.12890553510.2%
 
0.0248210616410.2%
 
0.535465896110.2%
 
0.965153753810.2%
 
-0.418612867610.2%
 
-1.20961332310.2%
 
-0.50129157310.2%
 
-1.23891341710.2%
 
-0.921216368710.2%
 
0.78938090810.2%
 
1.16523611510.2%
 
-1.70247960110.2%
 
-0.607745289810.2%
 
-0.473307132710.2%
 
-0.844116091710.2%
 
-1.61158871710.2%
 
-0.839229285710.2%
 
-1.2545665510.2%
 
1.11929595510.2%
 
0.1620973210.2%
 
-1.69073259810.2%
 
-0.157221034210.2%
 
1.71554064810.2%
 
-1.65499436910.2%
 
-0.703474879310.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73165583610.2%
 
-1.73123073610.2%
 
-1.73034930210.2%
 
-1.71829092510.2%
 
-1.70247960110.2%
 
-1.69073259810.2%
 
-1.68150758710.2%
 
-1.6799000510.2%
 
-1.66362261810.2%
 
-1.65593683710.2%
 
ValueCountFrequency (%) 
1.76718449610.2%
 
1.75083339210.2%
 
1.74714124210.2%
 
1.74415922210.2%
 
1.73022830510.2%
 
1.72807145110.2%
 
1.7207038410.2%
 
1.71754360210.2%
 
1.71554064810.2%
 
1.69512414910.2%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.603737473487854e-09
Minimum-1.8032293319702148
Maximum1.7704116106033323
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:57.312754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.803229332
5-th percentile-1.587844968
Q1-0.8259298503
median-0.02267750166
Q30.9006805718
95-th percentile1.551476502
Maximum1.770411611
Range3.573640943
Interquartile range (IQR)1.726610422

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)623543451.8
Kurtosis-1.182616183
Mean1.603737473e-09
Median Absolute Deviation (MAD)0.8603114877
Skewness-0.02614357954
Sum8.018687367e-07
Variance1
2020-08-25T00:13:57.425707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.150527834910.2%
 
-0.0714714974210.2%
 
-1.00846624410.2%
 
-0.174642533110.2%
 
0.453075915610.2%
 
-1.64416015110.2%
 
0.304365217710.2%
 
-0.507959902310.2%
 
-1.52067828210.2%
 
1.36981236910.2%
 
-0.392258793110.2%
 
-1.63544154210.2%
 
-1.25530159510.2%
 
1.00071799810.2%
 
-1.00321805510.2%
 
0.921225190210.2%
 
0.672245323710.2%
 
-1.77022361810.2%
 
1.39327347310.2%
 
-1.30008304110.2%
 
-0.0311024952710.2%
 
-0.291679799610.2%
 
0.991834521310.2%
 
0.0799862295410.2%
 
0.506917715110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.80322933210.2%
 
-1.80162823210.2%
 
-1.7856793410.2%
 
-1.77022361810.2%
 
-1.74306654910.2%
 
-1.74070417910.2%
 
-1.73715817910.2%
 
-1.71631467310.2%
 
-1.7105455410.2%
 
-1.69643640510.2%
 
ValueCountFrequency (%) 
1.77041161110.2%
 
1.76704227910.2%
 
1.76022493810.2%
 
1.75665199810.2%
 
1.74901163610.2%
 
1.73894178910.2%
 
1.72954964610.2%
 
1.68920409710.2%
 
1.68800926210.2%
 
1.68683743510.2%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.922070264816284e-10
Minimum-1.736939549446106
Maximum1.5911273956298828
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:57.544971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.736939549
5-th percentile-1.548521507
Q1-0.8835200667
median0.04673054256
Q30.930511564
95-th percentile1.453801578
Maximum1.591127396
Range3.328066945
Interquartile range (IQR)1.814031631

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1120816102
Kurtosis-1.303791247
Mean-8.922070265e-10
Median Absolute Deviation (MAD)0.9043456614
Skewness-0.08107273928
Sum-4.461035132e-07
Variance1.000000004
2020-08-25T00:13:57.649452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.716795146510.2%
 
-1.59365522910.2%
 
1.11974561210.2%
 
0.7120410810.2%
 
-1.73693954910.2%
 
-0.27437403810.2%
 
-0.0395030304810.2%
 
-1.59330844910.2%
 
0.466908395310.2%
 
-0.193193584710.2%
 
-0.0522046908710.2%
 
0.0988372713310.2%
 
-0.846999704810.2%
 
0.895829498810.2%
 
0.96223872910.2%
 
1.56706774210.2%
 
1.51049554310.2%
 
-0.651702165610.2%
 
-0.548188686410.2%
 
-1.52606785310.2%
 
-0.796239674110.2%
 
-1.44990193810.2%
 
-0.613624274710.2%
 
-0.860695958110.2%
 
-1.39523220110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73693954910.2%
 
-1.7280188810.2%
 
-1.69116425510.2%
 
-1.69089102710.2%
 
-1.69038832210.2%
 
-1.68892455110.2%
 
-1.68321335310.2%
 
-1.67417502410.2%
 
-1.67399799810.2%
 
-1.66589295910.2%
 
ValueCountFrequency (%) 
1.59112739610.2%
 
1.59107124810.2%
 
1.58721435110.2%
 
1.58523809910.2%
 
1.56706774210.2%
 
1.56489598810.2%
 
1.56488549710.2%
 
1.55558919910.2%
 
1.54841101210.2%
 
1.54840362110.2%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.815106073394418e-10
Minimum-2.21216368675232
Maximum3.1360557079315186
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:57.763446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.212163687
5-th percentile-1.388672066
Q1-0.7693212479
median-0.1117215976
Q30.5983141363
95-th percentile1.914249265
Maximum3.136055708
Range5.348219395
Interquartile range (IQR)1.367635384

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)1279573162
Kurtosis0.07124233693
Mean7.815106073e-10
Median Absolute Deviation (MAD)0.6714489162
Skewness0.6309337889
Sum3.907553037e-07
Variance0.9999999974
2020-08-25T00:13:57.867590image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.484817951910.2%
 
0.0788858160410.2%
 
-0.784484088410.2%
 
-2.21216368710.2%
 
-0.100014023510.2%
 
1.91613984110.2%
 
0.0226232074210.2%
 
-0.879217505510.2%
 
-0.5393760810.2%
 
2.20438408910.2%
 
-0.488929212110.2%
 
-0.000533417041910.2%
 
0.812827706310.2%
 
-0.233236521510.2%
 
1.08099520210.2%
 
0.13362796610.2%
 
-0.200185254210.2%
 
-0.778653502510.2%
 
-1.15011608610.2%
 
0.959211111110.2%
 
-1.29755306210.2%
 
0.16268257810.2%
 
-0.846785187710.2%
 
0.418629020510.2%
 
-0.153976410610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.21216368710.2%
 
-2.10992002510.2%
 
-2.07440066310.2%
 
-1.81962096710.2%
 
-1.74836790610.2%
 
-1.6958733810.2%
 
-1.67259240210.2%
 
-1.64965772610.2%
 
-1.61509895310.2%
 
-1.55592846910.2%
 
ValueCountFrequency (%) 
3.13605570810.2%
 
3.08746981610.2%
 
2.80459499410.2%
 
2.65874910410.2%
 
2.6190946110.2%
 
2.60961079610.2%
 
2.59853291510.2%
 
2.48137164110.2%
 
2.48128652610.2%
 
2.44810438210.2%
 

oz3
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8798746168613433e-09
Minimum-1.937083959579468
Maximum3.221857786178589
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:57.975425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.93708396
5-th percentile-1.349274039
Q1-0.7603634447
median-0.1723061204
Q30.6062102318
95-th percentile1.964504099
Maximum3.221857786
Range5.158941746
Interquartile range (IQR)1.366573676

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-531950372.1
Kurtosis0.03889418053
Mean-1.879874617e-09
Median Absolute Deviation (MAD)0.6765938401
Skewness0.6839460071
Sum-9.399373084e-07
Variance1.000000004
2020-08-25T00:13:58.080836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.382813125810.2%
 
1.2194434410.2%
 
0.099393740310.2%
 
2.57161402710.2%
 
0.711652576910.2%
 
2.72006893210.2%
 
-1.31706786210.2%
 
-0.634121060410.2%
 
-1.1101046810.2%
 
-1.37462019910.2%
 
-0.930194854710.2%
 
0.427902996510.2%
 
1.21747410310.2%
 
-0.216638058410.2%
 
-0.834328055410.2%
 
2.56308221810.2%
 
-0.649778485310.2%
 
0.792340040210.2%
 
-0.286307752110.2%
 
0.990585148310.2%
 
-0.737656295310.2%
 
-0.743516147110.2%
 
-0.105024851910.2%
 
0.0770708322510.2%
 
0.723989784710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.9370839610.2%
 
-1.85511887110.2%
 
-1.72597360610.2%
 
-1.71101355610.2%
 
-1.65161216310.2%
 
-1.64778447210.2%
 
-1.64288854610.2%
 
-1.58682334410.2%
 
-1.57661223410.2%
 
-1.54780292510.2%
 
ValueCountFrequency (%) 
3.22185778610.2%
 
3.04004669210.2%
 
2.86664366710.2%
 
2.78290796310.2%
 
2.72006893210.2%
 
2.6600174910.2%
 
2.62651109710.2%
 
2.59308838810.2%
 
2.57161402710.2%
 
2.56308221810.2%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.352746040517161e-09
Minimum-1.7205482721328735
Maximum1.8071941137313845
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:58.195163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.720548272
5-th percentile-1.573965931
Q1-0.8250152022
median-0.02115931455
Q30.8395174444
95-th percentile1.588056391
Maximum1.807194114
Range3.527742386
Interquartile range (IQR)1.664532647

Descriptive statistics

Standard deviation0.9999999989
Coefficient of variation (CV)739237054.8
Kurtosis-1.11461851
Mean1.352746041e-09
Median Absolute Deviation (MAD)0.8319658274
Skewness0.0493115739
Sum6.763730203e-07
Variance0.9999999979
2020-08-25T00:13:58.300259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.41569769410.2%
 
-0.459320396210.2%
 
-1.22914481210.2%
 
0.980784773810.2%
 
-0.698557972910.2%
 
-0.27017861610.2%
 
-0.117837786710.2%
 
0.718094587310.2%
 
1.61001908810.2%
 
-0.14705531310.2%
 
-0.943889677510.2%
 
-0.194881156110.2%
 
1.79363322310.2%
 
0.485184282110.2%
 
-0.883172392810.2%
 
-0.99057555210.2%
 
0.944643497510.2%
 
0.226379275310.2%
 
-1.36787545710.2%
 
-0.532572627110.2%
 
1.28194487110.2%
 
-1.09639787710.2%
 
-0.103315308710.2%
 
-0.00320678600110.2%
 
1.10617315810.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.72054827210.2%
 
-1.71034812910.2%
 
-1.70986068210.2%
 
-1.70254135110.2%
 
-1.69641494810.2%
 
-1.69576966810.2%
 
-1.6940656910.2%
 
-1.68242466410.2%
 
-1.67543494710.2%
 
-1.67032301410.2%
 
ValueCountFrequency (%) 
1.80719411410.2%
 
1.80084919910.2%
 
1.79363322310.2%
 
1.76584470310.2%
 
1.76497256810.2%
 
1.75762462610.2%
 
1.73718011410.2%
 
1.73616015910.2%
 
1.73542535310.2%
 
1.72709119310.2%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.401701390743256e-10
Minimum-1.6615641117095947
Maximum1.805585026741028
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:58.415457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.661564112
5-th percentile-1.51477589
Q1-0.8615844101
median-0.07169612125
Q30.8697187155
95-th percentile1.593222481
Maximum1.805585027
Range3.467149138
Interquartile range (IQR)1.731303126

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1063637270
Kurtosis-1.195347388
Mean9.401701391e-10
Median Absolute Deviation (MAD)0.8774623871
Skewness0.1017870146
Sum4.700850695e-07
Variance1.000000001
2020-08-25T00:13:58.518677image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.637692749510.2%
 
0.872426271410.2%
 
1.09667313110.2%
 
-0.904628813310.2%
 
0.925447940810.2%
 
1.42254328710.2%
 
1.08919882810.2%
 
0.202233985110.2%
 
0.784523367910.2%
 
-1.26436424310.2%
 
1.45047473910.2%
 
-0.0689260214610.2%
 
-1.07296681410.2%
 
0.0509863495810.2%
 
-0.0362496003510.2%
 
1.51829361910.2%
 
-0.975966274710.2%
 
-0.465024232910.2%
 
-0.604852557210.2%
 
-0.592158198410.2%
 
-0.353208273610.2%
 
-1.33128714610.2%
 
-0.343825459510.2%
 
1.0026911510.2%
 
1.31323945510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.66156411210.2%
 
-1.64766013610.2%
 
-1.64738309410.2%
 
-1.64261555710.2%
 
-1.64103138410.2%
 
-1.63921976110.2%
 
-1.6356513510.2%
 
-1.63328516510.2%
 
-1.59856545910.2%
 
-1.59785783310.2%
 
ValueCountFrequency (%) 
1.80558502710.2%
 
1.78651344810.2%
 
1.78578734410.2%
 
1.7837842710.2%
 
1.76827144610.2%
 
1.76282465510.2%
 
1.75919485110.2%
 
1.75234055510.2%
 
1.73990595310.2%
 
1.72867584210.2%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8078135326504707e-09
Minimum-1.7781615257263184
Maximum1.738861322402954
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:58.637253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.778161526
5-th percentile-1.573232377
Q1-0.8546754867
median0.008792570326
Q30.8565190583
95-th percentile1.55433352
Maximum1.738861322
Range3.517022848
Interquartile range (IQR)1.711194545

Descriptive statistics

Standard deviation0.9999999987
Coefficient of variation (CV)-553154393.8
Kurtosis-1.176078606
Mean-1.807813533e-09
Median Absolute Deviation (MAD)0.8573304503
Skewness-0.02921834686
Sum-9.039067663e-07
Variance0.9999999975
2020-08-25T00:13:58.748809image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.250535309310.2%
 
0.915375471110.2%
 
-0.566882789110.2%
 
-1.17639744310.2%
 
0.44937583810.2%
 
-0.971994459610.2%
 
0.706213176310.2%
 
1.09243094910.2%
 
1.49087274110.2%
 
1.67561805210.2%
 
1.24456214910.2%
 
0.759112834910.2%
 
-0.0103250956210.2%
 
-0.338544070710.2%
 
-0.710293948710.2%
 
-0.739596664910.2%
 
0.172944903410.2%
 
0.977562546710.2%
 
0.409839451310.2%
 
-0.942898869510.2%
 
-1.3704003110.2%
 
-1.44014835410.2%
 
-1.37960708110.2%
 
-1.67062509110.2%
 
-1.33062529610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.77816152610.2%
 
-1.77391195310.2%
 
-1.76835036310.2%
 
-1.76362562210.2%
 
-1.75327289110.2%
 
-1.7509195810.2%
 
-1.74986743910.2%
 
-1.7281982910.2%
 
-1.71958994910.2%
 
-1.70550286810.2%
 
ValueCountFrequency (%) 
1.73886132210.2%
 
1.72941005210.2%
 
1.72835326210.2%
 
1.72677862610.2%
 
1.72286105210.2%
 
1.70732450510.2%
 
1.70170116410.2%
 
1.67774105110.2%
 
1.67622768910.2%
 
1.67561805210.2%
 

oz5
Real number (ℝ)

HIGH CORRELATION
UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.599592199980521e-10
Minimum-1.5639463663101196
Maximum3.8647444248199454
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:58.864308image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.563946366
5-th percentile-1.075284672
Q1-0.7264739126
median-0.3135230839
Q30.4491554201
95-th percentile2.092132223
Maximum3.864744425
Range5.428690791
Interquartile range (IQR)1.175629333

Descriptive statistics

Standard deviation0.9999999998
Coefficient of variation (CV)1315860080
Kurtosis1.431006364
Mean7.5995922e-10
Median Absolute Deviation (MAD)0.5044796169
Skewness1.29969992
Sum3.7997961e-07
Variance0.9999999995
2020-08-25T00:13:58.972503image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.423775851710.2%
 
2.21581053710.2%
 
-0.28922367110.2%
 
-1.04556858510.2%
 
0.0286023393310.2%
 
1.30729186510.2%
 
-0.908533871210.2%
 
-1.12873923810.2%
 
0.656202137510.2%
 
0.609709799310.2%
 
0.694676041610.2%
 
0.850102007410.2%
 
-1.09701764610.2%
 
-0.517930388510.2%
 
1.26828455910.2%
 
-0.821644842610.2%
 
-0.215672895310.2%
 
-0.311702281210.2%
 
-0.832052648110.2%
 
0.957395136410.2%
 
-0.410827666510.2%
 
0.0776827409910.2%
 
-0.211874425410.2%
 
-0.884159743810.2%
 
-0.629279732710.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.56394636610.2%
 
-1.49307584810.2%
 
-1.44999551810.2%
 
-1.31730985610.2%
 
-1.30739116710.2%
 
-1.30532705810.2%
 
-1.28414034810.2%
 
-1.24933791210.2%
 
-1.24656653410.2%
 
-1.2310687310.2%
 
ValueCountFrequency (%) 
3.86474442510.2%
 
3.77981519710.2%
 
3.33027505910.2%
 
3.24224400510.2%
 
3.23088693610.2%
 
3.18289208410.2%
 
3.06926274310.2%
 
3.05847144110.2%
 
2.99438762710.2%
 
2.8499915610.2%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9243528665290343e-10
Minimum-1.6291252374649048
Maximum1.6726763248443604
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:59.093768image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.629125237
5-th percentile-1.52532354
Q1-0.9045208693
median-0.007593499497
Q30.9416445494
95-th percentile1.50109337
Maximum1.672676325
Range3.301801562
Interquartile range (IQR)1.846165419

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)3419559974
Kurtosis-1.304895614
Mean2.924352867e-10
Median Absolute Deviation (MAD)0.9256629478
Skewness0.01182179414
Sum1.462176433e-07
Variance1.000000002
2020-08-25T00:13:59.199683image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.160400286310.2%
 
-0.0677898973210.2%
 
-1.1919896610.2%
 
-0.978795528410.2%
 
-1.27089405110.2%
 
-0.0335268862510.2%
 
0.361479222810.2%
 
-1.3972464810.2%
 
-0.488434404110.2%
 
1.33783876910.2%
 
-0.0609323345110.2%
 
-0.376620054210.2%
 
1.13929367110.2%
 
1.47398519510.2%
 
0.8733672510.2%
 
0.027903353810.2%
 
-0.264823585710.2%
 
0.521815240410.2%
 
-1.09050846110.2%
 
1.36785650310.2%
 
1.66864144810.2%
 
-1.46747112310.2%
 
-0.107586242310.2%
 
0.68683046110.2%
 
1.62874054910.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.62912523710.2%
 
-1.62836134410.2%
 
-1.6270368110.2%
 
-1.62488985110.2%
 
-1.6212776910.2%
 
-1.62091445910.2%
 
-1.60142469410.2%
 
-1.5997322810.2%
 
-1.59906852210.2%
 
-1.59576368310.2%
 
ValueCountFrequency (%) 
1.67267632510.2%
 
1.66864144810.2%
 
1.66538834610.2%
 
1.66469478610.2%
 
1.62874054910.2%
 
1.6205977210.2%
 
1.61944472810.2%
 
1.59520852610.2%
 
1.58870625510.2%
 
1.58816289910.2%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.475035429000855e-10
Minimum-1.734439253807068
Maximum1.6428345441818235
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:59.320779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.734439254
5-th percentile-1.564360017
Q1-0.8402726501
median0.05031413957
Q30.8576265723
95-th percentile1.493138373
Maximum1.642834544
Range3.377273798
Interquartile range (IQR)1.697899222

Descriptive statistics

Standard deviation0.999999998
Coefficient of variation (CV)-1179936068
Kurtosis-1.234554816
Mean-8.475035429e-10
Median Absolute Deviation (MAD)0.8403209746
Skewness-0.08156852773
Sum-4.237517715e-07
Variance0.9999999961
2020-08-25T00:13:59.424913image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.339355081310.2%
 
-1.46159231710.2%
 
0.881163299110.2%
 
1.31556439410.2%
 
0.324371874310.2%
 
-1.70960593210.2%
 
0.0836570709910.2%
 
-0.427402824210.2%
 
0.378088116610.2%
 
0.348770856910.2%
 
0.875319540510.2%
 
-1.4107985510.2%
 
-1.30923652610.2%
 
1.16927540310.2%
 
-1.24088180110.2%
 
0.341632813210.2%
 
-0.986193120510.2%
 
-1.62566018110.2%
 
-1.44152879710.2%
 
-1.17255115510.2%
 
0.492846310110.2%
 
-0.950828671510.2%
 
0.238611623610.2%
 
-0.204432234210.2%
 
0.69956988110.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.73443925410.2%
 
-1.72707390810.2%
 
-1.72264957410.2%
 
-1.71332764610.2%
 
-1.70960593210.2%
 
-1.70754313510.2%
 
-1.70600354710.2%
 
-1.69823646510.2%
 
-1.68924903910.2%
 
-1.66912400710.2%
 
ValueCountFrequency (%) 
1.64283454410.2%
 
1.64275836910.2%
 
1.63671779610.2%
 
1.62258887310.2%
 
1.62059605110.2%
 
1.61630535110.2%
 
1.61329209810.2%
 
1.61084425410.2%
 
1.60360705910.2%
 
1.60078835510.2%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.824243322014809e-10
Minimum-1.8114176988601685
Maximum1.6917579174041748
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:59.540479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.811417699
5-th percentile-1.655597854
Q1-0.8050645441
median0.03363105096
Q30.8023997694
95-th percentile1.526648223
Maximum1.691757917
Range3.503175616
Interquartile range (IQR)1.607464314

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-2614896381
Kurtosis-1.121342848
Mean-3.824243322e-10
Median Absolute Deviation (MAD)0.805419689
Skewness-0.1013686748
Sum-1.912121661e-07
Variance1.000000005
2020-08-25T00:13:59.651143image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.666989266910.2%
 
0.351240068710.2%
 
0.97198158510.2%
 
-0.228103056610.2%
 
0.487456560110.2%
 
1.59772145710.2%
 
0.490656286510.2%
 
-0.701481699910.2%
 
-1.2564872510.2%
 
-1.69919943810.2%
 
1.6822775610.2%
 
0.599930882510.2%
 
-1.11002016110.2%
 
1.21549177210.2%
 
1.26952409710.2%
 
1.39436340310.2%
 
1.55344855810.2%
 
-0.385421156910.2%
 
0.626312017410.2%
 
-0.013326332910.2%
 
0.585067212610.2%
 
1.60374748710.2%
 
-1.52802896510.2%
 
-1.41474735710.2%
 
0.371823519510.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.81141769910.2%
 
-1.80754685410.2%
 
-1.80654132410.2%
 
-1.78145241710.2%
 
-1.78121495210.2%
 
-1.7730741510.2%
 
-1.7652224310.2%
 
-1.76272463810.2%
 
-1.75754773610.2%
 
-1.7393938310.2%
 
ValueCountFrequency (%) 
1.69175791710.2%
 
1.68766248210.2%
 
1.6822775610.2%
 
1.67140805710.2%
 
1.66606795810.2%
 
1.65723562210.2%
 
1.65639889210.2%
 
1.64733254910.2%
 
1.63511204710.2%
 
1.6317013510.2%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.150244295597077e-11
Minimum-1.6863374710083008
Maximum1.744788408279419
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:13:59.919612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.686337471
5-th percentile-1.513222426
Q1-0.8572568148
median-0.06904728338
Q30.8588443995
95-th percentile1.620248872
Maximum1.744788408
Range3.431125879
Interquartile range (IQR)1.716101214

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1.092866996e+10
Kurtosis-1.144951376
Mean9.150244296e-11
Median Absolute Deviation (MAD)0.8427635133
Skewness0.1124771835
Sum4.575122148e-08
Variance1
2020-08-25T00:14:00.022402image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.15429544410.2%
 
-1.64322435910.2%
 
1.46154296410.2%
 
0.361968368310.2%
 
-1.0455347310.2%
 
-0.829409301310.2%
 
-1.62366557110.2%
 
-0.210265085110.2%
 
1.45960867410.2%
 
1.11678004310.2%
 
1.66489434210.2%
 
-0.501293480410.2%
 
-0.0551345907210.2%
 
0.213580414710.2%
 
1.7291586410.2%
 
0.380697727210.2%
 
-0.594099700510.2%
 
-1.22480571310.2%
 
1.60026085410.2%
 
-0.178548425410.2%
 
0.818687319810.2%
 
0.984430074710.2%
 
-1.24905645810.2%
 
-1.34051215610.2%
 
-0.65951490410.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-1.68633747110.2%
 
-1.6826740510.2%
 
-1.67653191110.2%
 
-1.6740173110.2%
 
-1.67276120210.2%
 
-1.66928386710.2%
 
-1.66726946810.2%
 
-1.65957844310.2%
 
-1.65636265310.2%
 
-1.64872372210.2%
 
ValueCountFrequency (%) 
1.74478840810.2%
 
1.73247134710.2%
 
1.7291586410.2%
 
1.72150194610.2%
 
1.71986663310.2%
 
1.71592533610.2%
 
1.71051132710.2%
 
1.70233094710.2%
 
1.69814944310.2%
 
1.69813454210.2%
 

target
Real number (ℝ)

UNIQUE

Distinct count500
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.220094021600289e-11
Minimum-2.481217622756958
Maximum3.309795379638672
Zeros0
Zeros (%)0.0%
Memory size4.0 KiB
2020-08-25T00:14:00.139841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.481217623
5-th percentile-1.836461252
Q1-0.6811883897
median0.1666248068
Q30.7335653156
95-th percentile1.286018503
Maximum3.30979538
Range5.791013002
Interquartile range (IQR)1.414753705

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1.084587639e+10
Kurtosis-0.1330572742
Mean9.220094022e-11
Median Absolute Deviation (MAD)0.6344744116
Skewness-0.2819215553
Sum4.610047011e-08
Variance1.000000001
2020-08-25T00:14:00.240734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.843748152310.2%
 
0.559880316310.2%
 
0.171213433110.2%
 
-1.28876030410.2%
 
0.992475688510.2%
 
0.196360856310.2%
 
0.734665155410.2%
 
-0.223706781910.2%
 
-1.4908276810.2%
 
-1.84518301510.2%
 
0.897761106510.2%
 
-1.35802447810.2%
 
-0.445463210310.2%
 
0.191971063610.2%
 
-2.36451125110.2%
 
-0.795234620610.2%
 
-0.777684748210.2%
 
0.161943510210.2%
 
0.489612370710.2%
 
1.2564511310.2%
 
-0.235363110910.2%
 
0.603838622610.2%
 
1.06535637410.2%
 
-0.922200083710.2%
 
0.738163709610.2%
 
Other values (475)47595.0%
 
ValueCountFrequency (%) 
-2.48121762310.2%
 
-2.46143102610.2%
 
-2.41050744110.2%
 
-2.36451125110.2%
 
-2.29225969310.2%
 
-2.28572630910.2%
 
-2.20150017710.2%
 
-2.19518184710.2%
 
-2.13950586310.2%
 
-2.09227037410.2%
 
ValueCountFrequency (%) 
3.3097953810.2%
 
2.73018264810.2%
 
2.72093915910.2%
 
2.53368210810.2%
 
2.51029300710.2%
 
2.45958590510.2%
 
2.45062160510.2%
 
2.1000835910.2%
 
1.7412331110.2%
 
1.65997731710.2%
 

Interactions

2020-08-25T00:12:57.488555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:57.631237image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:57.770136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:57.899970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:58.037867image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:58.177173image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:58.314960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:58.454945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:58.607159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:58.908967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.042894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.177997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.315342image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.452682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.591601image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.726094image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.861332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:12:59.999007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:00.137489image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:00.278959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:00.413880image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:00.557857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:00.701659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:00.840505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:00.980766image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:01.121927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:01.264416image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:01.405142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:01.544718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:01.686083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:01.821112image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:01.959558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:02.100980image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:02.244575image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:02.383772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:02.516600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:02.658600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:02.797311image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:03.097388image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:03.237036image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:03.371467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:03.498751image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:03.627001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:03.745737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:03.874794image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.001932image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.129889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.258159image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.385432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.514243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.639177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.763796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:04.892140image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.021029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.149840image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.271089image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.398837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.528063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.656656image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.785825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:05.908299image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:06.050947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:06.190131image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:06.324535image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:06.463012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:06.607997image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:06.750154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:06.891138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:07.196643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:07.339453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:07.477747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:07.611954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:07.754986image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:07.893784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:13:37.615893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:37.752009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:37.884307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.007659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.138725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.272516image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.404465image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.537419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.672350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.807359image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:38.933243image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.059178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.190172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.322842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.454305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.580662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.713095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.845623image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:39.980016image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:40.111665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:40.241915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:40.545708image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:40.683705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:40.815320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:40.955552image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:41.094469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:41.235554image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:41.373542image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:41.513462image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:41.651334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:41.786058image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:41.919546image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:42.057095image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:42.197210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:42.333705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:42.465919image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:42.612090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:42.751337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:42.890266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.028346image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.162378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.300904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.440615image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.569596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.707657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.852869image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:43.999893image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:44.138119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:44.276407image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:44.414369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:44.718341image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:44.855350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:44.998666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:45.137117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:45.275387image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:45.413715image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:45.552727image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:45.690386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:45.834777image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:45.976784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:46.116778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:46.256467image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:46.398035image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:46.532176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:46.681993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:46.821138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:46.961929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:47.107442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:47.250949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:47.392074image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:47.526007image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:47.659213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:47.800781image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:47.942622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:48.080380image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:48.223895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:48.370350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:48.509693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:48.647258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:48.947144image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:49.087358image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:49.223729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:49.365383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:49.501662image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:49.641229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:49.780895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:49.922696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:50.066917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:50.205752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:50.354287image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:50.492291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:50.629230image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:50.768320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:50.910747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:51.052038image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:51.188191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:51.331479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:51.473037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:51.613583image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:51.752154image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:51.888264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:52.022648image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:52.154386image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:52.277754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:52.418458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:52.554021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:52.687655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:52.821142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:53.113981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:53.248364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:53.377877image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:53.517055image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:53.650179image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:53.782638image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:53.913557image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:54.042532image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:54.174927image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:54.310193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:54.443665image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:54.582563image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:14:00.384694image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:14:00.693371image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:14:00.992258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:14:01.295949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:13:54.863352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:13:55.323945image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
0-1.426701-1.057848-0.642959-0.5832630.8554860.5350870.5277960.2026551.242757-0.0128930.1696361.492556-0.5771531.018751-0.270753-0.6663231.3939941.5265141.4641640.992476
1-0.802575-0.019873-1.001072-0.881603-1.6006900.312582-0.813210-1.6356340.9101250.326898-0.511727-1.2097570.209459-0.192878-0.546773-0.594822-0.6665550.854235-1.106198-0.611556
21.0791701.5934460.351010-0.0400041.2311721.4735360.964808-0.094593-1.036072-0.1539760.5522911.3541301.5215671.3366470.462545-0.1716700.934172-1.5060581.5849290.722154
3-0.999266-0.8340290.7656220.952189-1.395310-0.5793861.6363401.028340-0.389999-0.673290-0.6341210.008782-0.390677-0.965563-0.372517-0.6711110.6670541.349167-0.071944-2.019828
41.5319920.1713701.098697-1.621363-0.0832800.5280901.0939650.9815490.6784600.5818662.142194-0.093520-1.0990481.6332942.497952-0.4203851.6163051.073126-0.4700030.222428
5-0.4485101.6602990.1703040.785438-1.2403830.9916770.700721-0.2933101.434582-1.110729-0.287529-1.0858811.587351-0.335463-0.2707521.0093141.492896-0.360837-1.6740170.597356
61.7644061.517596-0.898769-0.3401170.891655-1.696860-1.254567-0.3695290.236836-0.938472-0.7609560.9542011.624362-1.459790-1.091889-1.568182-1.202438-1.2321981.6981350.219317
70.328775-0.873955-0.528315-0.977728-1.2113570.066030-0.910734-0.5079600.6887671.914150-0.0177361.5124021.2744771.396327-0.293384-1.457927-0.5806721.200784-0.5302501.256451
8-0.513282-0.2407931.1927040.6484950.015919-0.1191470.1946290.6467390.200901-0.0403990.536002-1.5079310.5343080.0102110.9015600.320322-1.709606-0.459738-1.656363-1.395259
9-0.1560411.5012632.3088801.165766-0.7454880.5339240.8920041.760225-1.071534-1.0793901.7386450.8949941.5151100.8403743.0584711.420737-0.9387451.229103-1.0848160.910134

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
4901.555916-1.0843661.403941-0.7153930.721086-0.567946-0.5605431.014050-1.5940421.1210470.8115501.7354251.1806800.0400161.230958-0.7286661.0394551.424131-1.457024-0.378432
4910.6579631.1538820.7368371.2978090.5203930.7982471.2971130.7324071.4155201.367110-0.2480211.7371800.5203080.058870-0.238248-0.2121980.248059-1.4555550.933310-1.799421
4921.6448890.9598570.163213-0.887206-0.5819380.9673140.9240730.235740-1.013723-1.173359-0.8416431.6949321.805585-1.573270-0.435091-0.7175480.971239-0.970267-1.172380-0.448978
493-0.2715340.8052811.402015-0.072859-0.378618-0.867485-1.1158281.081417-0.533617-0.0575151.217474-1.1418810.7266570.9252231.6502141.588163-0.950128-1.045289-1.2085520.409081
4940.6399881.117581-0.6503421.676746-0.4337361.5841850.938845-1.532980-1.447492-1.278763-1.052331-0.135239-0.746980-1.095675-0.760859-0.8031300.9442861.6473330.373040-0.156020
495-0.5344981.5356581.3131170.4042240.0493850.5548300.2555381.0868491.2869552.4812870.8709220.073884-0.3292730.8463721.058846-0.4367710.7853621.193409-1.338790-0.386062
4961.5283711.568894-0.215633-0.255628-1.2843060.4761250.024821-0.3076681.400595-1.1120440.1606921.020949-1.3979060.915375-0.1762361.1560821.1997620.176791-0.8911071.019508
4970.006321-0.081132-0.201717-0.661406-0.1668670.191493-0.960608-0.454200-1.2849931.187940-0.2963680.101441-0.2627521.220053-0.588289-1.0669081.4415440.9141671.3719141.338693
4980.328554-1.601977-0.8124280.2704791.1822780.781726-0.454341-1.6945791.515048-0.488929-1.2770331.6574520.866125-1.329944-0.766716-0.2011081.600788-0.0133260.750953-0.408168
499-0.536210-0.3893521.250549-0.400734-1.5337980.301541-0.0980701.7295501.1022831.1534550.328903-0.7946141.351773-0.5668830.2019810.999469-0.315150-1.2299281.5308380.347183